Basic Multigrid Solvers
Learn efficient methods for solving sparse linear equations. Explore algorithms and techniques for handling large, sparse datasets in computation.
Course Content
Basic Multigrid Solvers is an intermediate-level Udemy course taught by Robert Spall. It runs 1h, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 16 reviews, with 166 students enrolled. It is a paid course, first published January 2021.
Accelerate CFD Simulations with Multigrid Techniques
Discover how multigrid techniques dramatically speed up computational fluid dynamics (CFD) simulations. These powerful methods are essential in modern commercial CFD codes dealing with problems involving a large number of unknowns. Learn how multigrid accelerates the convergence of iterative methods by leveraging multiple grid levels for significantly faster results.
This course provides a practical introduction to multigrid applied to solving one- and two-dimensional elliptic problems. We'll focus on finite-difference discretization, a common approach in CFD. The concepts explored are broadly applicable and can be extended to other discretization methods like finite-volume methods, and even applied to general sparse linear systems represented as Ax=b.
Key Course Features:
- Hands-on application of multigrid to 1D and 2D problems.
- Implementation in Fortran90 with readily available source code for download.
- Suitable for students with a foundation in numerical methods and proficiency in a scientific programming language.
If you're looking to improve the efficiency of your CFD simulations or understand advanced numerical techniques, this course is for you!
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